Use the Fourier transform convention . Nesting and the orthonormal basis of give the scaling refinement equationHere . Compact support makes these inner products zero for all but finitely many , so is a trigonometric polynomial. Expanding the orthogonality of the integer translates of in the orthonormal basis of yieldsConsequentlyThis holds everywhere because is continuous. The invoked properties are nesting, dyadic dilation, orthonormal integer translates, and compact support; mere finite-energy refinement would not imply the quadrature mirror filter identity.
The density axiom and continuity of the Fourier transform at zero imply . Here is a proof that avoids assuming a normalization of the integral. Choose a nonzero whose Fourier transform has bounded support. The MRA projection Fourier identity, with no aliasing once is sufficiently large, isSince , its Fourier transform is continuous and bounded, so this tends to . Density and nesting give in . Thus , in particular it is nonzero. Evaluating the scaling refinement equation in frequency at zero now giveswhich is stronger than the requested absolute-value equality. Multiplying the scaling function by a constant of modulus one normalizes its integral to one without changing .
At zero, the partial products are . Their assumed convergence and force and . Uniform convergence on compact sets makes continuous. The identity with gives with squared norm . Define by the inverse Fourier transform in . The Plancherel theorem and the other given integral identities giveDefine as the closed span of . These functions form an orthonormal basis of , and dyadic dilation gives the scale axiom. Shifting the infinite product givesso the finite Fourier series of gives a scaling refinement equation and . The coarse-scale projection argument of part 1(b) proves the trivial-intersection axiom.
For density, take a function with bounded Fourier support. The MRA projection Fourier identity gives, for large ,Uniform convergence of to one on that support proves the limit. Since is an orthogonal projection, . Such functions are dense in , givingThus all the multiresolution analysis axioms hold. Under the strong convergence and orthogonality assumptions supplied here, the additional nonvanishing condition is not needed in this last verification; it is useful when establishing those assumptions from a filter.
The factor has a simple zero at , and makes the zero of there exactly order . The quadrature mirror filter construction gives a high-pass symbol , up to a constant phase, andThe normalized scaling function has , so has a zero of exactly order at zero. Compact support of the Daubechies wavelet permits differentiation under its Fourier transform:HenceThere are exactly vanishing moments, rather than just at least .
Normalize , as in the displayed product convention. Iterating the scaling refinement equation gives . The finite-product identityhas the value one at zero by continuity. ThereforeWrite . Since , we have . For , take . The first factors are bounded by . For the remaining factors, the trigonometric polynomial satisfies on , henceUsing givesThe strict hypothesis permits with . The given Fourier-decay criterion proves uniform Hölder regularity of exponent . For the ordinary increment definition of Hölder continuity, take : Fourier inversion and directly give the required bound. If , “Lipschitz-” must mean higher-order Hölder space regularity; an ordinary increment bound of exponent greater than one forces a function to be constant. An unnormalized scaling function contributes its constant phase to the product formula.
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